SOTAVerified

Question Answering

Question answering can be segmented into domain-specific tasks like community question answering and knowledge-base question answering. Popular benchmark datasets for evaluation question answering systems include SQuAD, HotPotQA, bAbI, TriviaQA, WikiQA, and many others. Models for question answering are typically evaluated on metrics like EM and F1. Some recent top performing models are T5 and XLNet.

( Image credit: SQuAD )

Papers

Showing 73017325 of 10817 papers

TitleStatusHype
A Graph Representation of Semi-structured Data for Web Question Answering0
Length-Adaptive Transformer: Train Once with Length Drop, Use Anytime with SearchCode1
A Wrong Answer or a Wrong Question? An Intricate Relationship between Question Reformulation and Answer Selection in Conversational Question AnsweringCode0
CoRel: Seed-Guided Topical Taxonomy Construction by Concept Learning and Relation TransferringCode1
F1 is Not Enough! Models and Evaluation Towards User-Centered Explainable Question AnsweringCode0
Does my multimodal model learn cross-modal interactions? It's harder to tell than you might think!0
Contrast and Classify: Training Robust VQA ModelsCode1
Cross-Modal BERT for Text-Audio Sentiment AnalysisCode1
End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering SystemsCode0
BioMegatron: Larger Biomedical Domain Language Model0
Neural, Symbolic and Neural-Symbolic Reasoning on Knowledge Graphs0
Counterfactual Variable Control for Robust and Interpretable Question AnsweringCode1
Towards Accurate and Reliable Energy Measurement of NLP ModelsCode0
On the Importance of Adaptive Data Collection for Extremely Imbalanced Pairwise TasksCode0
Localizing Open-Ontology QA Semantic Parsers in a Day Using Machine TranslationCode0
Beyond Language: Learning Commonsense from Images for ReasoningCode0
Interpretable Neural Computation for Real-World Compositional Visual Question Answering0
Open-Domain Question Answering Goes Conversational via Question RewritingCode1
Artificial Intelligence (AI) in Action: Addressing the COVID-19 Pandemic with Natural Language Processing (NLP)0
Relation Classification as Two-way Span-Prediction0
AutoQA: From Databases To QA Semantic Parsers With Only Synthetic Training DataCode1
Characterizing Datasets for Social Visual Question Answering, and the New TinySocial Dataset0
Infusing Disease Knowledge into BERT for Health Question Answering, Medical Inference and Disease Name RecognitionCode1
On the importance of pre-training data volume for compact language models0
Exposing Shallow Heuristics of Relation Extraction Models with Challenge DataCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1IE-Net (ensemble)EM90.94Unverified
2FPNet (ensemble)EM90.87Unverified
3IE-NetV2 (ensemble)EM90.86Unverified
4SA-Net on Albert (ensemble)EM90.72Unverified
5SA-Net-V2 (ensemble)EM90.68Unverified
6FPNet (ensemble)EM90.6Unverified
7Retro-Reader (ensemble)EM90.58Unverified
8EntitySpanFocusV2 (ensemble)EM90.52Unverified
9TransNets + SFVerifier + SFEnsembler (ensemble)EM90.49Unverified
10EntitySpanFocus+AT (ensemble)EM90.45Unverified